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Record W2144202472 · doi:10.1177/1049732313483926

Communication Challenges for Chronic Metastatic Cancer in an Era of Novel Therapeutics

2013· article· en· W2144202472 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueQualitative Health Research · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic and Financial Impacts of Cancer
Canadian institutionsBC Cancer AgencyUniversity of British Columbia
Fundersnot available
KeywordsPsychosocialMedicineMultidisciplinary approachDiseaseExperiential learningCancerQualitative researchLimitingPopulationPsychologyPsychiatryPathologyInternal medicine

Abstract

fetched live from OpenAlex

Advances in the production of novel therapies for cancer management are creating new challenges for the support of increasing numbers of persons surviving for extended periods with advanced disease. Despite incurable and life-limiting metastatic conditions, these patients are living longer with serious disease, pushing the boundaries of what science explains and clinicians can confidently interpret using available evidence. Here we report findings from an early subset of such individuals within a longitudinal qualitative cancer cohort study on clinician-patient communication across the cancer trajectory. In these findings, we contextualize experiential accounts of communication in a changing environment of the costs and uncertainties of personalized medicine, and examine the complex psychosocial circumstances of this rapidly growing patient population. Interpretation of these findings illustrates how emerging issues in cancer treatment influence the experience of these patients, their social and support networks, their cancer care specialists, and the multidisciplinary teams charged with coordinating their care.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.294
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.684
GPT teacher head0.569
Teacher spread0.115 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it